Model-Based Eco-Routing Strategy for Electric Vehicles in Large Urban Networks
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The presented work discusses a novel eco-routing navigation strategy and energy consumption modeling approach for electric vehicles. Speed fluctuations and road infrastructure have a large impact on vehicular energy consumption, especially in urban environment. Neglecting these effects may lead to large errors in eco-routing navigation, which could trivially select the route with the lowest average speed. An energy consumption model that accurately considers both accelerations and impact of the road infrastructure is presented. This is achieved by separating the costs of all the possible turning movements in the transportation network by means of the adjoint graph. It is demonstrated that the proposed strategy is more effective and reliable than the state-of-the-art approaches in predicting vehicle energy consumption and in suggesting an energy-efficient route.
KeywordsEco-routing Energy consumption estimation Electric vehicles Adjoint graph
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 653288—OPTEMUS.
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